Model Comparison

Gemini 1.0 Pro vs Qwen2.5-Coder 32B Instruct

Qwen2.5-Coder 32B Instruct significantly outperforms across most benchmarks. Qwen2.5-Coder 32B Instruct is 8.3x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemini 1.0 Pro outperforms in 0 benchmarks, while Qwen2.5-Coder 32B Instruct is better at 2 benchmarks (MATH, MMLU).

Qwen2.5-Coder 32B Instruct significantly outperforms across most benchmarks.

Thu Apr 02 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen2.5-Coder 32B Instruct costs less

For input processing, Gemini 1.0 Pro ($0.50/1M tokens) is 5.6x more expensive than Qwen2.5-Coder 32B Instruct ($0.09/1M tokens).

For output processing, Gemini 1.0 Pro ($1.50/1M tokens) is 16.7x more expensive than Qwen2.5-Coder 32B Instruct ($0.09/1M tokens).

In conclusion, Gemini 1.0 Pro is more expensive than Qwen2.5-Coder 32B Instruct.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Thu Apr 02 2026 • llm-stats.com
Google
Gemini 1.0 Pro
Input tokens$0.50
Output tokens$1.50
Best providerGoogle
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
Input tokens$0.09
Output tokens$0.09
Best providerLambda
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Qwen2.5-Coder 32B Instruct accepts 128,000 input tokens compared to Gemini 1.0 Pro's 32,760 tokens. Qwen2.5-Coder 32B Instruct can generate longer responses up to 128,000 tokens, while Gemini 1.0 Pro is limited to 8,192 tokens.

Google
Gemini 1.0 Pro
Input32,760 tokens
Output8,192 tokens
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
Input128,000 tokens
Output128,000 tokens
Thu Apr 02 2026 • llm-stats.com

License

Usage and distribution terms

Gemini 1.0 Pro is licensed under a proprietary license, while Qwen2.5-Coder 32B Instruct uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 1.0 Pro

Proprietary

Closed source

Qwen2.5-Coder 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 1.0 Pro was released on 2024-02-15, while Qwen2.5-Coder 32B Instruct was released on 2024-09-19.

Qwen2.5-Coder 32B Instruct is 7 months newer than Gemini 1.0 Pro.

Gemini 1.0 Pro

Feb 15, 2024

2.1 years ago

Qwen2.5-Coder 32B Instruct

Sep 19, 2024

1.5 years ago

7mo newer

Knowledge Cutoff

When training data ends

Gemini 1.0 Pro has a documented knowledge cutoff of 2024-02-01, while Qwen2.5-Coder 32B Instruct's cutoff date is not specified.

We can confirm Gemini 1.0 Pro's training data extends to 2024-02-01, but cannot make a direct comparison without Qwen2.5-Coder 32B Instruct's cutoff date.

Gemini 1.0 Pro

Feb 2024

Qwen2.5-Coder 32B Instruct

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Provider Availability

Gemini 1.0 Pro is available from Google. Qwen2.5-Coder 32B Instruct is available from Lambda, DeepInfra, Hyperbolic, Fireworks.

Gemini 1.0 Pro

google logo
Google
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M

Qwen2.5-Coder 32B Instruct

lambda logo
Lambda
Input Price:Input: $0.09/1MOutput Price:Output: $0.09/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.18/1MOutput Price:Output: $0.18/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Google
Alibaba Cloud / Qwen Team
Larger context window (128,000 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher MATH score (57.2% vs 32.6%)
Higher MMLU score (75.1% vs 71.8%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.0 Pro
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct

FAQ

Common questions about Gemini 1.0 Pro vs Qwen2.5-Coder 32B Instruct

Qwen2.5-Coder 32B Instruct significantly outperforms across most benchmarks. Gemini 1.0 Pro is made by Google and Qwen2.5-Coder 32B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemini 1.0 Pro scores BIG-Bench: 75.0%, MMLU: 71.8%, WMT23: 71.7%, EgoSchema: 55.7%, MMMU: 47.9%. Qwen2.5-Coder 32B Instruct scores HumanEval: 92.7%, GSM8k: 91.1%, MBPP: 90.2%, HellaSwag: 83.0%, Winogrande: 80.8%.
Qwen2.5-Coder 32B Instruct is 5.6x cheaper for input tokens. Gemini 1.0 Pro costs $0.50/M input and $1.50/M output via google. Qwen2.5-Coder 32B Instruct costs $0.09/M input and $0.09/M output via lambda.
Gemini 1.0 Pro supports 33K tokens and Qwen2.5-Coder 32B Instruct supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (33K vs 128K), input pricing ($0.50 vs $0.09/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Gemini 1.0 Pro is developed by Google and Qwen2.5-Coder 32B Instruct is developed by Alibaba Cloud / Qwen Team.